Triple

T2481764
Position Surface form Disambiguated ID Type / Status
Subject Pontiac Grand Am E55833 entity
Predicate parentCompany P254 FINISHED
Object General Motors E506 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: General Motors | Statement: [Pontiac Grand Am, parentCompany, General Motors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: General Motors
Context triple: [Pontiac Grand Am, parentCompany, General Motors]
  • A. General Motors chosen
    General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
  • B. Ford Motor Company
    Ford Motor Company is a major American automobile manufacturer, founded by Henry Ford, known for pioneering assembly-line mass production and producing iconic vehicles like the Model T and F-Series trucks.
  • C. Ford
    Ford is a common English surname borne by numerous notable individuals, including U.S. President Gerald Ford.
  • D. Chevrolet
    Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
  • E. American Motors Corporation
    American Motors Corporation was a major American automobile manufacturer best known for producing compact cars and later spawning the AM General division that built military and utility vehicles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd161bf3c8190834502968180e9cf completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af2b6940f4819094998ddbb62efd19 completed March 9, 2026, 8:19 p.m.
Created at: March 6, 2026, 9:45 p.m.